Database Engineer at Pavago

Required Skills & Experience

1. Core Expertise

• 3+ years hands-on with Neo4j (modeling + querying)
• Strong SQL/NoSQL database design background

2. Querying

• Expert-level Cypher (path queries, pattern comprehension, aggregations)

3. Data Modeling

• Graph normalization, temporal modeling, event-sourced architectures

4. Programming

• Strong Python skills for ingestion, automation, and processing

5. Nice to Have

• Experience with Dockerized Neo4j, APOC, pipeline automation

What You’ll Do

• Serve as the primary graph architect
• Build scalable graph logic to compute complex real-world relationships
• Contribute to an AI-driven intelligence platform foundation

Key Performance Indicators (KPIs)

1. Query Optimization

• 20–30% reduction in Cypher execution time
• Effective profiling and refactoring of traversals and aggregations

2. Data Model Quality

• Zero critical integrity issues
• On-time schema updates within sprint cycles
• Efficient addition of new entity types

3. Pipeline Reliability

• 99% success rate for Python-based ingestion
• Minimal downtime or ingestion failures
• Clean integration with external sources

4. Overall Delivery

• Meeting milestones (ownership computation, migrations, validations)
• Strong sprint velocity and low bug rates

5. Data Governance

• Validation errors under 1%
• Full compliance with constraints and auditability

Interview Process

1. Initial Phone Screen
2. Technical Interview with Pavago Recruiter
3. Practical Task (schema design or query optimization)
4. Final Client Interview
5. Offer & Background Verification